Tabla de Contenidos: “…4 -- 1.1.2 6LoWPAN history and standardization 6 -- 1.1.3 Relation of 6LoWPAN toother trends 8 -- 1.1.4 Applications of 6LoWPAN 9 -- 1.1.5 Example: facility management 11 -- 1.2 The 6LoWPAN Architecture 13 -- 1.3 6LoWPAN Introduction 15 -- 1.3.1 The protocol stack 16 -- 1.3.2 Link layers for 6LoWPAN 17 -- 1.3.3 Addressing 19 -- 1.3.4 Header format 20 -- 1.3.5 Bootstrapping 20 -- 1.3.6 Mesh topologies 22 -- 1.3.7 Internet integration 23 -- 1.4 Network Example 24 -- 2 The 6LoWPAN Format 27 -- 2.1 Functions of an Adaptation Layer 28 -- 2.2 Assumptions About the Link Layer 29 -- 2.2.1 Link-layer technologies beyond IEEE 802.15.4 29 -- 2.2.2 Link-layer service model 30 -- 2.2.3 Link-layer addressing 31 -- 2.2.4 Link-layer management and operation 32 -- 2.3 The Basic 6LoWPAN Format 32 -- 2.4 Addressing 34 -- 2.5 Forwarding and Routing 37 -- 2.5.1 L2 forwarding (“Mesh-Under”) 38 -- 2.5.2 L3 routing (“Route-Over”) 40 -- 2.6 Header Compression 41 -- 2.6.1 Stateless header compression 43 -- 2.6.2 Context-based header compression 45 -- 2.7 Fragmentation and Reassembly 52 -- 2.7.1 The fragmentation format 55 -- 2.7.2 Avoiding the fragmentation performance penalty 59 -- 2.8 Multicast 59 -- 3 Bootstrapping and Security 63 -- 3.1 Commissioning 64 -- 3.2 Neighbor Discovery 66 -- 3.2.1 Forming addresses 67 -- 3.2.2 Registration 69 -- 3.2.3 Registration collisions 73 -- 3.2.4 Multihop registration 77 -- 3.2.5 Node operation 80 -- 3.2.6 Router operation 81 -- 3.2.7 Edge router operation 82 -- 3.3 Security 83 -- 3.3.1 Security objectives and threat models 84 -- 3.3.2 Layer2 mechanisms 85 -- 3.3.3 Layer3 mechanisms 87 -- 3.3.4 Key management 89 -- 4 Mobility and Routing 91 -- 4.1 Mobility 92 -- 4.1.1 Mobility types 92 -- 4.1.2 Solutions for mobility 94 -- 4.1.3 Application methods 96 -- 4.1.4 Mobile IPv6 97.…”

Tabla de Contenidos: “…X: 114-117, 119: In Monte Pessulano : anno MCCCIV composita / edidit Louis Sala-Molins -- T. XI: 135-141: In Monte Pessulano : annis MCCCVIII-MCCCIX composita / edidit Charles Lohr -- T. …”

Tabla de Contenidos: “…Cover -- Half-Title Page -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgment -- 1 Introduction to Cognitive Computing -- 1.1 Introduction: Definition of Cognition, Cognitive Computing -- 1.2 Defining and Understanding Cognitive Computing -- 1.3 Cognitive Computing Evolution and Importance -- 1.4 Difference Between Cognitive Computing and Artificial Intelligence -- 1.5 The Elements of a Cognitive System -- 1.5.1 Infrastructure and Deployment Modalities -- 1.5.2 Data Access, Metadata, and Management Services -- 1.5.3 The Corpus, Taxonomies, and Data Catalogs -- 1.5.4 Data Analytics Services -- 1.5.5 Constant Machine Learning -- 1.5.6 Components of a Cognitive System -- 1.5.7 Building the Corpus -- 1.5.8 Corpus Administration Governing and Protection Factors -- 1.6 Ingesting Data Into Cognitive System -- 1.6.1 Leveraging Interior and Exterior Data Sources -- 1.6.2 Data Access and Feature Extraction -- 1.7 Analytics Services -- 1.8 Machine Learning -- 1.9 Machine Learning Process -- 1.9.1 Data Collection -- 1.9.2 Data Preparation -- 1.9.3 Choosing a Model -- 1.9.4 Training the Model -- 1.9.5 Evaluate the Model -- 1.9.6 Parameter Tuning -- 1.9.7 Make Predictions -- 1.10 Machine Learning Techniques -- 1.10.1 Supervised Learning -- 1.10.2 Unsupervised Learning -- 1.10.3 Reinforcement Learning -- 1.10.4 The Significant Challenges in Machine Learning -- 1.11 Hypothesis Space -- 1.11.1 Hypothesis Generation -- 1.11.2 Hypotheses Score -- 1.12 Developing a Cognitive Computing Application -- 1.13 Building a Health Care Application -- 1.13.1 Healthcare Ecosystem Constituents -- 1.13.2 Beginning With a Cognitive Healthcare Application -- 1.13.3 Characterize the Questions Asked by the Clients -- 1.13.4 Creating a Corpus and Ingesting the Content -- 1.13.5 Training the System…”

Tabla de Contenidos: “…7.1.3 Marginalized Denoising Dictionary Learning with Locality Constraint -- 7.1.3.1 Preliminaries and Motivations -- 7.1.3.2 LC-LRD Revisited -- 7.1.3.3 Marginalized Denoising Auto-encoder (mDA) -- 7.1.3.4 Proposed MDDL Model -- 7.1.3.5 Optimization -- 7.1.3.6 Classi cation Based on MDDL -- 7.1.4 Experiments -- 7.1.4.1 Experimental Settings -- 7.1.4.2 Face Recognition -- 7.1.4.3 Object Recognition -- 7.1.4.4 Digits Recognition -- 7.1.5 Conclusion -- 7.1.6 Future Works -- 7.2 Learning a Deep l8 Encoder for Hashing -- 7.2.1 Introduction -- 7.2.1.1 Problem De nition and Background -- 7.2.1.2 Related Work -- 7.2.2 ADMM Algorithm -- 7.2.3 Deep l8 Encoder -- 7.2.4 Deep l8 Siamese Network for Hashing -- 7.2.5 Experiments in Image Hashing -- 7.2.6 Conclusion -- References -- 8 Action Recognition -- 8.1 Deeply Learned View-Invariant Features for Cross-View Action Recognition -- 8.1.1 Introduction -- 8.1.2 Related Work -- 8.1.3 Deeply Learned View-Invariant Features -- 8.1.3.1 Sample-Af nity Matrix (SAM) -- 8.1.3.2 Preliminaries on Autoencoders -- 8.1.3.3 Single-Layer Feature Learning -- 8.1.3.4 Learning -- 8.1.3.5 Deep Architecture -- 8.1.4 Experiments -- 8.1.4.1 IXMAS Dataset -- One-to-One Cross-view Action Recognition -- Many-to-One Cross-view Action Recognition -- 8.1.4.2 Daily and Sports Activities Data Set -- Many-to-One Cross-view Action Classi cation -- 8.2 Hybrid Neural Network for Action Recognition from Depth Cameras -- 8.2.1 Introduction -- 8.2.2 Related Work -- 8.2.3 Hybrid Convolutional-Recursive Neural Networks -- 8.2.3.1 Architecture Overview -- 8.2.3.2 3D Convolutional Neural Networks -- 8.2.3.3 3D Recursive Neural Networks -- 8.2.3.4 Multiple 3D-RNNs -- 8.2.3.5 Model Learning -- 8.2.3.6 Classi cation -- 8.2.4 Experiments -- 8.2.4.1 MSR-Gesture3D Dataset -- 8.2.4.2 MSR-Action3D Dataset -- 8.3 Summary -- References…”

Tabla de Contenidos: “…-- 21.3 Update your résumé -- 21.3.1 Résumé rules -- 21.3.2 Starting your résumé -- 21.3.3 Every résumé is unique -- 21.3.4 Analyze the job posting -- 21.3.5 Writing your résumé -- 21.3.6 Formatting your résumé -- 21.3.7 Should you hire a résumé writer? …”

Tabla de Contenidos: “…12.4.2 Chebyshev-I Filter -- 12.4.3 Chebyshev-II Filter -- 12.4.4 Elliptic Filter -- 12.5 Conclusion and Future Scope -- References -- Chapter 13 Neural Networks and Their Applications -- 13.1 Introduction -- 13.2 Main Work of Neuron -- 13.3 Comparison Between Artificial Neural Network (ANN) and Biological Neural Network (BNN) -- 13.4 How Artificial Neural Network Works -- 13.4.1 Processing of ANN Building Blocks -- 13.4.2 Neural Network Learning Rules -- 13.5 Neural Networks and Their Applications -- 13.5.1 Image Processing and Character Recognition -- 13.5.2 Business Forecasting -- 13.5.3 Financial Prediction -- 13.5.4 Additional Neural Network Uses in the Economic World -- 13.5.5 The Traveling Salesman Problem -- 13.5.6 Medicine -- 13.5.7 Electronic Nose -- 13.5.8 Security -- 13.5.9 Loans and Credit Cards -- 13.5.10 Other Applications of Neural Networks -- 13.6 Conclusion and Future Scope -- References -- Editors -- EULA…”

Tabla de Contenidos: “…11.3.3 Accelerator Driven Systems (CADS) -- 11.3.4 CiADS (China Initiative Accelerator Driven System) -- 11.3.5 Japan Atomic Energy Agency (JAEA) - ADS -- 11.3.6 High‐Intensity Proton Accelerator Development in India -- 11.3.7 PIP‐II and Beyond -- 11.4 Electrons for Light Sources - Linacs -- 11.4.1 European X‐ray Free Electron Laser (EXFEL) -- 11.4.2 Linac Coherent Light Source LCLS‐II and LCLS‐HE (LCLS‐High Energy) -- 11.4.3 Shanghai Coherent Light Facility (SCLF) SHINE -- 11.4.4 Institute of Advanced Science Facilities (IASF) -- 11.4.5 Polish Free‐Electron Laser POLFEL -- 11.5 Electrons for Storage Ring Light Sources -- 11.5.1 High‐Energy Photon Source (HEPS) -- 11.5.2 Taiwan Photon Source (TPS) -- 11.5.3 Higher Harmonic Cavities for Storage Rings Chaoen WANG, NSRRC, Taiwan -- 11.5.4 BNL -- 11.6 Electrons in Energy Recovery Linacs (ERL) for Light Sources &amp -- Electron-Ion Colliders -- 11.6.1 Prototyping ERL Technology at Cornell -- 11.6.2 KEK ERLs -- 11.6.3 Light‐House Project for Radiopharmaceuticals -- 11.6.4 Peking ERL -- 11.6.5 Berlin ERL -- 11.6.6 MESA ERL -- 11.6.7 SRF Photo‐injectors for ERLs -- 11.7 Electrons for Nuclear Physics, Nuclear Astrophysics, Radio‐Isotope Production -- 11.7.1 CEBAF at Jefferson Lab -- 11.7.2 ARIEL at TRIUMF -- 11.7.3 ERL for LHeC at CERN -- 11.8 Crab Cavities for LHC High Luminosity -- 11.9 Ongoing and Near‐Future Projects Summary -- Chapter 12 Future Prospects for Large‐Scale SRF Applications -- 12.1 The International Linear Collider (ILC) for High‐Energy Physics -- 12.2 Future Circular Collider FCCee -- 12.3 China Electron-Positron Collider, CEPC -- Chapter 13 Quantum Computing with SRF Cavities -- 13.1 Introduction to Quantum Computing -- 13.2 Qubits -- 13.3 Superposition and Coherence -- 13.4 Entanglement -- 13.5 2D SRF Qubits -- 13.6 Josephson Junctions…”

Tabla de Contenidos: “…OnDemand overview for z/OS -- 11.1 Introduction -- 11.1.1 OnDemand features and functionalities -- 11.2 System overview -- 11.2.1 Library Server -- 11.2.2 Object Server -- 11.2.3 Server configurations -- 11.3 OnDemand terminology and concept -- 11.3.1 Applications -- 11.3.2 Application groups -- 11.3.3 Folders -- 11.3.4 Resources -- 11.3.5 Storage sets and storage nodes -- 11.3.6 Cache and archive storage -- 11.4 OnDemand Web Enablement Kit (ODWEK) -- 11.4.1 11.4.1 OnDemand programming interface -- 11.4.2 Document viewing -- Chapter 12. …”

Tabla de Contenidos: “…Chapter 10 Optimizing Prediction of Liver Disease Using Machine Learning Algorithms -- 10.1 Introduction -- 10.2 Related Works -- 10.3 Proposed Methodology -- 10.4 Result and Discussions -- 10.5 Conclusion -- References -- Chapter 11 Optimized Ensembled Model to Predict Diabetes Using Machine Learning -- 11.1 Introduction -- 11.2 Literature Review -- 11.3 Proposed Methodology -- 11.3.1 Missing Value Imputation (MVI) -- 11.3.2 Feature Selection -- 11.3.3 K-Fold Cross-Validation -- 11.3.4 ML Classifiers -- 11.3.5 Evaluation Metrics -- 11.4 Results and Discussion -- 11.5 Concluding Remarks and Future Scope -- References -- Chapter 12 Wearable Gait Authentication: A Framework for Secure User Identification in Healthcare -- 12.1 Introduction -- 12.2 Literature Survey -- 12.3 Proposed System -- 12.3.1 Walking Detection -- 12.3.2 Experimental Setup -- 12.4 Results and Discussion -- 12.4.1 Dataset Used -- 12.4.2 Results -- 12.4.3 Comparison Used Techniques -- 12.5 Conclusion and Future Scope -- References -- Chapter 13 NLP-Based Speech Analysis Using K-Neighbor Classifier -- 13.1 Introduction -- 13.2 Supervised Machine Learning for NLP and Text Analytics -- 13.2.1 Categorization and Classification -- 13.3 Unsupervised Machine Learning for NLP and Text Analytics -- 13.4 Experiments and Results -- 13.5 Conclusion -- References -- Chapter 14 Fusion of Various Machine Learning Algorithms for Early Heart Attack Prediction -- 14.1 Introduction -- 14.2 Literature Review -- 14.3 Materials and Methods -- 14.3.1 Dataset -- 14.3.2 EDA -- 14.3.3 Machine Learning Model Implemented -- 14.4 Result Analysis -- 14.5 Conclusion -- References -- Chapter 15 Machine Learning-Based Approaches for Improving Healthcare Services and Quality of Life (QoL): Opportunities, Issues and Challenges -- 15.1 Introduction…”

Tabla de Contenidos: “…DECRETO 3170 DE 1964 -- G. DECRETOS 3135 DE 1968 Y 1848 DE 1969 -- H. LEY 100 DE 1993 -- I. …”

Tabla de Contenidos: “…2.1.1.9.1 RESEÑA HISTÓRICA -- 2.1.1.9.2 RÉGIMEN PENSIONAL ESPECIAL -- 2.1.1.10 SECTOR DE LAS TELECOMUNICACIONES -- 2.1.1.10.1 EVOLUCIÓN -- 2.1.1.10.2 RÉGIMEN DE TRANSICIÓN DECRETO LEY 3135 DE 1968 Y (...) -- 2.1.1.10.3 RÉGIMEN DE TRANSICIÓN DE LA LEY 33 DE 1985 -- 2.1.1.10.4 RÉGIMEN DE TRANSICIÓN DE LA LEY 100 DE 1993 Y DEL DECRETO 1835 (...) -- 2.1.1.10.5 CAPRECOM46 Y EL RÉGIMEN QUE ADMINISTRA -- 2.1.1.11 RÉGIMEN PENSIONAL DE LOS NOTARIOS Y EMPLEADOS DE LAS NOTARÍAS -- 2.1.1.11.1 NATURALEZA JURÍDICA DE LA FUNCIÓN NOTARIAL -- 2.1.1.11.2 RÉGIMEN PENSIONAL -- 2.1.1.11.3 FONPRENOR EN RELACIÓN CON LOS PENSIONADOS -- 2.1.1.11.4 CONCLUSIÓN -- 2.1.1.12 RÉGIMEN PENSIONAL FERROCARRILES NACIONALES -- 2.1.1.12.1 ANTECEDENTES Y GENERALIDADES DEL RÉGIMEN PENSIONAL -- 2.1.1.12.3 RÉGIMEN PENSIONAL ESPECIAL PARA TRABAJADORES FERROVIARIOS -- 2.1.1.12.5 NATURALEZA ACTUAL DEL RÉGIMEN PENSIONAL -- 2.1.1.12.6 ASPECTOS JURISPRUDENCIALES -- 2.1.1.12.7 FUENTES DE FINANCIACIÓN -- 2.1.1.13 RÉGIMEN PENSIONAL DE LOS AVIADORES CIVILES -- 2.1.1.13.1 ANTECEDENTES Y GENERALIDADES -- 2.1.1.13.2 GRUPOS DE SERVIDORES A QUIENES APLICA -- 2.1.1.13.3 REQUISITOS PARA ACCEDER A LA PENSIÓN DE VEJEZ -- 2.1.1.13.4 VIGENCIA ACTUAL DEL RÉGIMEN PENSIONAL -- 2.1.1.13.5 APLICACIÓN DEL RÉGIMEN PENSIONAL -- 2.1.1.13.6 ASPECTOS JURISPRUDENCIALES -- 2.1.1.13.7 PÉRDIDA DEL RÉGIMEN DE TRANSICIÓN -- 2.1.1.13.8 FUENTES DE FINANCIACIÓN -- 2.1.1.13.9 PENSIÓN DE INVALIDEZ DE LOS AVIADORES CIVILES -- CAPÍTULO 3 RÉGIMEN DE TRANSICIÓN PENSIONAL TEORÍA GENERAL -- CAPÍTULO 4 ÁMBITO TEMPORAL DE LOS REGÍMENES ESPECIALES Y EXCEPTUADOS -- 4.1 INTENTOS LEGALES PARA REFORMAR, LIMITAR O EXTINGUIR EL RÉGIMEN DE TRANSICIÓN -- 4.2 POSICIÓN JURISPRUDENCIAL FRENTE AL RÉGIMEN DE TRANSICIÓN EN PENSIONES -- CAPÍTULO 5 EXTINCIÓN CONSTITUCIONAL DE LOS REGÍMENES ESPECIALES Y DE ALGUNOS (...) -- 5.1 ACTO LEGISLATIVO 01 DE 2005.…”

Tabla de Contenidos: “…3.1.3.2 OBJETIVOS3.1.3.3 PROCEDIMIENTO; 3.1.3.4 NORMAS DE TRABAJO; 3.1.3.5 ACTIVIDAD ALTERNATIVA; CUESTIONARIO; 3.1.3.6 BIBLIOGRAFÍA; NOTAS; 3.1.4. …”

Tabla de Contenidos: “…Cover -- Copyright -- Contents -- Chapter 1: Pollutants in groundwater -- 1.1 Introduction -- 1.2 Pollution Sources -- 1.3 Relevant Classes of Contaminants -- 1.3.1 Inorganic species -- 1.3.1.1 Arsenic -- 1.3.1.2 Fluoride -- 1.3.1.3 Nitrogen species -- 1.3.1.4 Metals -- 1.3.2 Organic pollutants -- 1.3.2.1 Aromatic hydrocarbons (BTEX) -- 1.3.2.2 Chlorinated hydrocarbons -- 1.3.2.3 Pesticides -- 1.3.2.4 Polycyclic aromatic hydrocarbons -- 1.3.2.5 Polychlorinated biphenyls -- 1.3.3 Chemicals of emerging concern -- 1.3.3.1 Pharmaceuticals -- 1.3.3.2 Endocrine disrupting compounds (EDCs) -- 1.4 References -- Chapter 2: Filtration materials for groundwater treatment -- 2.1 Introduction -- 2.2 Extraction of Ions of Toxic Metals from Groundwater by Sorbents, Ion Exchangers -- 2.3 Reactive Materials -- 2.4 The Use of Production Wastes in Groundwater Treatment -- 2.5 Biological Active Media -- 2.6 References -- Chapter 3: Technologies for ground water treatment -- 3.1 Pump-and-treat technologies -- 3.1.1 Introduction -- 3.1.2 Site Characterizations -- 3.1.3 Treatment Methods -- 3.1.3.1 Membrane filtration -- 3.1.3.2 Forward osmosis -- 3.1.3.3 Nanotechnologies -- 3.1.3.4 Electrocoagulation -- 3.1.3.5 Electrodialysis -- 3.1.3.6 Adsorption -- 3.1.3.7 Chemical oxidation -- 3.1.3.7.1 Ozone chemistry -- 3.1.3.8 Metal precipitation -- 3.1.3.8.1 Hydroxide precipitation -- 3.1.3.8.2 Sulfide precipitation -- 3.1.3.8.3 Carbonate precipitation -- 3.1.3.9 Ion exchange -- 3.1.3.10 UV treatment -- 3.1.3.11 Biodegradation -- 3.1.4 Summary -- 3.1.5 Conclusion -- 3.1.6 References -- 3.2 Near-well subsurface treatment technologies for sustainable drinking water production -- 3.2.1 Introduction -- 3.2.2 The Challenge and Potential for OMP Removal Using Subsurface Reactors -- 3.2.3 Subsurface Reactors: Characteristics and Specifics…”

Tabla de Contenidos: “…Erweiterte Verbalszene: Zusammenfassung -- 5.1.3.5. Formale Realisierung von dürfte und mag -- 5.1.3.5.1. …”

Tabla de Contenidos: “…Otón y Vitelio; 1.3.4. Macrino; 1.3.5. Galieno; 1.3.6. Gildón; 1.4. El Tíber y los Libros Sibilinos; 1.5. …”

Tabla de Contenidos: “…Factores que afectan a la generación del ruido de tráfico.; 13.5. Métodos de predicción.; 13.6. Factores que afectan a la propagación del ruido de tráfico.; 14 BARRERAS ACÚSTICAS; 14.1. …”

Tabla de Contenidos: “…Caracterización del equilibrio; 13.5. Estática comparativa…”

Tabla de Contenidos: “….); PAGÍNA LEGAL; ÍNDICE; AALTO, ALVAR 44; AMBASZ, EMILIO 51 ; PAGÍNA 147; ANDO, TADAO 76; PÁGINA 151; ARUP, OVE 123; BALMOND, CECIL 15 ; PÁGINA 30; BAN, SHIGERU 85; BARRAGÁN, LUIS 136; BEHNISCH, GÜNTER 70 ; PÁGINA 129; BOTTA, MARIO 82; CALATRAVA, SANTIAGO 67; PÁGINA 140; CAMPO BAEZA, ALBERTO 64; CHIPPERFIELD, DAVID 55; COOK, PETER 17; DA VINCI, LEONARDO 160; DE L'ORME, PHILIBERT 97; DE PORTZAMPARC, CHRISTIAN 135; DILLER, ELIZABETH 23 ; PÁGINA 108; PÁGINA 153; EAMES, CHARLES 43; PÁGINA 98; EISENMAN, PETER 137 ; PÁGINA 152; ERICKSON, ARTHUR 60…”

Tabla de Contenidos: “…11.2 COSTEO VARIABLE Y COSTEO POR ABSORCIÓN11.3 COSTEO POR ÓRDENES DE TRABAJO; 11.4 COSTEO POR PROCESO; 11.5 EJERCICIOS RESUELTOS; CAPÍTULO 12; 12.1 EL PROCESO PRESUPUESTARIO; 12.2 PRESUPUESTOS DE OPERACIÓN; 12.3 PRESUPUESTOS FINANCIEROS; 12.4 EJERCICIOS RESUELTOS; CAPÍTULO 13; 13.1 COSTEO REAL Y COSTEO ESTÁNDAR; 13.2 PRESUPUESTOS FLEXIBLES; 13.3 ANÁLISIS DE DESVIACIONES; 13.4 ASIGNACIÓN DEL COSTO FIJO; 13.5 EJERCICIOS RESUELTOS; CAPÍTULO 14; 14.1 DISTINTOS ENFOQUES CONTABLES; 14.2 MÉTODOS PARA TRADUCIR ESTADOS FINANCIEROS; 14.3 CRITERIOS DE CONTABILIZACIÓN; 14.4 INFORMACIÓN DE EMPRESAS…”